Multiplexed quantitative analysis of CD3, CD8, and CD20 predicts response to neoadjuvant chemotherapy in breast cancer
Although tumor-infiltrating lymphocytes (TIL) have been associated with response to neoadjuvant therapy, measurement typically is subjective, semiquantitative, and unable to differentiate among subpopulations. Here, we describe a quantitative objective method for analyzing lymphocyte subpopulations...
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Veröffentlicht in: | Clinical cancer research 2014-12, Vol.20 (23), p.5995-6005 |
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creator | Brown, Jason R Wimberly, Hallie Lannin, Donald R Nixon, Christian Rimm, David L Bossuyt, Veerle |
description | Although tumor-infiltrating lymphocytes (TIL) have been associated with response to neoadjuvant therapy, measurement typically is subjective, semiquantitative, and unable to differentiate among subpopulations. Here, we describe a quantitative objective method for analyzing lymphocyte subpopulations and assessing their predictive value.
We developed a quantitative immunofluorescence assay to measure stromal expression of CD3, CD8, and CD20 on one slide. We validated this assay by comparison with flow cytometry on tonsil specimens and assessed predictive value in breast cancer on a neoadjuvant cohort (n = 95). Then, each marker was tested for prediction of pathologic complete response (pCR) compared with pathologist estimation of the percentage of lymphocyte infiltrate.
The lymphocyte percentage and CD3, CD8, and CD20 proportions were similar between flow cytometry and quantitative immunofluorescence on tonsil specimens. Pathologist TIL count predicted pCR [P = 0.043; OR, 4.77; 95% confidence interval (CI), 1.05-21.6] despite fair interobserver reproducibility (κ = 0.393). Stromal AQUA (automated quantitative analysis) scores for CD3 (P = 0.023; OR, 2.51; 95% CI, 1.13-5.57), CD8 (P = 0.029; OR, 2.00; 95% CI, 1.08-3.72), and CD20 (P = 0.005; OR, 1.80; 95% CI, 1.19-2.72) predicted pCR in univariate analysis. CD20 AQUA score predicted pCR (P = 0.019; OR, 5.37; 95% CI, 1.32-21.8) independently of age, size, nuclear grade, nodal status, ER, PR, HER2, and Ki-67, whereas CD3, CD8, and pathologist estimation did not.
We have developed and validated an objective, quantitative assay measuring TILs in breast cancer. Although this work provides analytic validity, future larger studies will be required to prove clinical utility. |
doi_str_mv | 10.1158/1078-0432.CCR-14-1622 |
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We developed a quantitative immunofluorescence assay to measure stromal expression of CD3, CD8, and CD20 on one slide. We validated this assay by comparison with flow cytometry on tonsil specimens and assessed predictive value in breast cancer on a neoadjuvant cohort (n = 95). Then, each marker was tested for prediction of pathologic complete response (pCR) compared with pathologist estimation of the percentage of lymphocyte infiltrate.
The lymphocyte percentage and CD3, CD8, and CD20 proportions were similar between flow cytometry and quantitative immunofluorescence on tonsil specimens. Pathologist TIL count predicted pCR [P = 0.043; OR, 4.77; 95% confidence interval (CI), 1.05-21.6] despite fair interobserver reproducibility (κ = 0.393). Stromal AQUA (automated quantitative analysis) scores for CD3 (P = 0.023; OR, 2.51; 95% CI, 1.13-5.57), CD8 (P = 0.029; OR, 2.00; 95% CI, 1.08-3.72), and CD20 (P = 0.005; OR, 1.80; 95% CI, 1.19-2.72) predicted pCR in univariate analysis. CD20 AQUA score predicted pCR (P = 0.019; OR, 5.37; 95% CI, 1.32-21.8) independently of age, size, nuclear grade, nodal status, ER, PR, HER2, and Ki-67, whereas CD3, CD8, and pathologist estimation did not.
We have developed and validated an objective, quantitative assay measuring TILs in breast cancer. Although this work provides analytic validity, future larger studies will be required to prove clinical utility.</description><identifier>ISSN: 1078-0432</identifier><identifier>EISSN: 1557-3265</identifier><identifier>DOI: 10.1158/1078-0432.CCR-14-1622</identifier><identifier>PMID: 25255793</identifier><language>eng</language><publisher>United States</publisher><subject>Adult ; Aged ; Antigens, CD20 - metabolism ; Antineoplastic Combined Chemotherapy Protocols - therapeutic use ; Biomarkers, Tumor ; Breast Neoplasms - drug therapy ; Breast Neoplasms - immunology ; Breast Neoplasms - metabolism ; Breast Neoplasms - mortality ; Breast Neoplasms - pathology ; CD3 Complex - metabolism ; CD8 Antigens - metabolism ; Chemotherapy, Adjuvant ; Female ; Humans ; Immunophenotyping ; Lymphocyte Subsets - immunology ; Lymphocyte Subsets - metabolism ; Lymphocytes, Tumor-Infiltrating - immunology ; Lymphocytes, Tumor-Infiltrating - metabolism ; Middle Aged ; Neoadjuvant Therapy ; Neoplasm Grading ; Neoplasm Staging ; Prognosis ; Reproducibility of Results ; Treatment Outcome ; Tumor Burden</subject><ispartof>Clinical cancer research, 2014-12, Vol.20 (23), p.5995-6005</ispartof><rights>2014 American Association for Cancer Research.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c510t-3bbb6c1b868770a1e44e25185268922c00ab99833d8e7400aba36cbbfae768b23</citedby><cites>FETCH-LOGICAL-c510t-3bbb6c1b868770a1e44e25185268922c00ab99833d8e7400aba36cbbfae768b23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,3343,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25255793$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Brown, Jason R</creatorcontrib><creatorcontrib>Wimberly, Hallie</creatorcontrib><creatorcontrib>Lannin, Donald R</creatorcontrib><creatorcontrib>Nixon, Christian</creatorcontrib><creatorcontrib>Rimm, David L</creatorcontrib><creatorcontrib>Bossuyt, Veerle</creatorcontrib><title>Multiplexed quantitative analysis of CD3, CD8, and CD20 predicts response to neoadjuvant chemotherapy in breast cancer</title><title>Clinical cancer research</title><addtitle>Clin Cancer Res</addtitle><description>Although tumor-infiltrating lymphocytes (TIL) have been associated with response to neoadjuvant therapy, measurement typically is subjective, semiquantitative, and unable to differentiate among subpopulations. Here, we describe a quantitative objective method for analyzing lymphocyte subpopulations and assessing their predictive value.
We developed a quantitative immunofluorescence assay to measure stromal expression of CD3, CD8, and CD20 on one slide. We validated this assay by comparison with flow cytometry on tonsil specimens and assessed predictive value in breast cancer on a neoadjuvant cohort (n = 95). Then, each marker was tested for prediction of pathologic complete response (pCR) compared with pathologist estimation of the percentage of lymphocyte infiltrate.
The lymphocyte percentage and CD3, CD8, and CD20 proportions were similar between flow cytometry and quantitative immunofluorescence on tonsil specimens. Pathologist TIL count predicted pCR [P = 0.043; OR, 4.77; 95% confidence interval (CI), 1.05-21.6] despite fair interobserver reproducibility (κ = 0.393). Stromal AQUA (automated quantitative analysis) scores for CD3 (P = 0.023; OR, 2.51; 95% CI, 1.13-5.57), CD8 (P = 0.029; OR, 2.00; 95% CI, 1.08-3.72), and CD20 (P = 0.005; OR, 1.80; 95% CI, 1.19-2.72) predicted pCR in univariate analysis. CD20 AQUA score predicted pCR (P = 0.019; OR, 5.37; 95% CI, 1.32-21.8) independently of age, size, nuclear grade, nodal status, ER, PR, HER2, and Ki-67, whereas CD3, CD8, and pathologist estimation did not.
We have developed and validated an objective, quantitative assay measuring TILs in breast cancer. Although this work provides analytic validity, future larger studies will be required to prove clinical utility.</description><subject>Adult</subject><subject>Aged</subject><subject>Antigens, CD20 - metabolism</subject><subject>Antineoplastic Combined Chemotherapy Protocols - therapeutic use</subject><subject>Biomarkers, Tumor</subject><subject>Breast Neoplasms - drug therapy</subject><subject>Breast Neoplasms - immunology</subject><subject>Breast Neoplasms - metabolism</subject><subject>Breast Neoplasms - mortality</subject><subject>Breast Neoplasms - pathology</subject><subject>CD3 Complex - metabolism</subject><subject>CD8 Antigens - metabolism</subject><subject>Chemotherapy, Adjuvant</subject><subject>Female</subject><subject>Humans</subject><subject>Immunophenotyping</subject><subject>Lymphocyte Subsets - immunology</subject><subject>Lymphocyte Subsets - metabolism</subject><subject>Lymphocytes, Tumor-Infiltrating - immunology</subject><subject>Lymphocytes, Tumor-Infiltrating - metabolism</subject><subject>Middle Aged</subject><subject>Neoadjuvant Therapy</subject><subject>Neoplasm Grading</subject><subject>Neoplasm Staging</subject><subject>Prognosis</subject><subject>Reproducibility of Results</subject><subject>Treatment Outcome</subject><subject>Tumor Burden</subject><issn>1078-0432</issn><issn>1557-3265</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFUctu1DAUtRCIPuATQF6yaIrfcTZIKLQFqVUlBGvLdu4wrjJxajsj5u9x1Idgxeb6Ps498rkHoXeUnFMq9UdKWt0Qwdl5339vqGioYuwFOqZStg1nSr6s-RPmCJ3kfEcIFZSI1-iISVZhHT9G-5tlLGEe4TcM-H6xUwnFlrAHbCc7HnLIOG5w_4Wf1aDPaneoCSN4TjAEXzJOkOc4ZcAl4gmiHe6WfaXBfgu7WLaQ7HzAYcIugc21bScP6Q16tbFjhreP7yn6eXnxo__aXN9efes_XzdeUlIa7pxTnjqtdNsSS0EIYJJqyZTuGPOEWNd1mvNBQyvWynLlndtYaJV2jJ-iTw-88-J2MHiYSrKjmVPY2XQw0Qbz72QKW_Mr7o2oJ2q1rAQfHglSvF8gF7ML2cM42qp1yYZqolW9cKv-D1Ws6xRtha5Q-QD1KeacYPP8I0rMaq9ZrTOrdabaa6hYt1c57_-W87z15Cf_Azpaock</recordid><startdate>20141201</startdate><enddate>20141201</enddate><creator>Brown, Jason R</creator><creator>Wimberly, Hallie</creator><creator>Lannin, Donald R</creator><creator>Nixon, Christian</creator><creator>Rimm, David L</creator><creator>Bossuyt, Veerle</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7QO</scope><scope>7T5</scope><scope>8FD</scope><scope>FR3</scope><scope>H94</scope><scope>P64</scope><scope>5PM</scope></search><sort><creationdate>20141201</creationdate><title>Multiplexed quantitative analysis of CD3, CD8, and CD20 predicts response to neoadjuvant chemotherapy in breast cancer</title><author>Brown, Jason R ; Wimberly, Hallie ; Lannin, Donald R ; Nixon, Christian ; Rimm, David L ; Bossuyt, Veerle</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c510t-3bbb6c1b868770a1e44e25185268922c00ab99833d8e7400aba36cbbfae768b23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Antigens, CD20 - metabolism</topic><topic>Antineoplastic Combined Chemotherapy Protocols - therapeutic use</topic><topic>Biomarkers, Tumor</topic><topic>Breast Neoplasms - drug therapy</topic><topic>Breast Neoplasms - immunology</topic><topic>Breast Neoplasms - metabolism</topic><topic>Breast Neoplasms - mortality</topic><topic>Breast Neoplasms - pathology</topic><topic>CD3 Complex - metabolism</topic><topic>CD8 Antigens - metabolism</topic><topic>Chemotherapy, Adjuvant</topic><topic>Female</topic><topic>Humans</topic><topic>Immunophenotyping</topic><topic>Lymphocyte Subsets - immunology</topic><topic>Lymphocyte Subsets - metabolism</topic><topic>Lymphocytes, Tumor-Infiltrating - immunology</topic><topic>Lymphocytes, Tumor-Infiltrating - metabolism</topic><topic>Middle Aged</topic><topic>Neoadjuvant Therapy</topic><topic>Neoplasm Grading</topic><topic>Neoplasm Staging</topic><topic>Prognosis</topic><topic>Reproducibility of Results</topic><topic>Treatment Outcome</topic><topic>Tumor Burden</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Brown, Jason R</creatorcontrib><creatorcontrib>Wimberly, Hallie</creatorcontrib><creatorcontrib>Lannin, Donald R</creatorcontrib><creatorcontrib>Nixon, Christian</creatorcontrib><creatorcontrib>Rimm, David L</creatorcontrib><creatorcontrib>Bossuyt, Veerle</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Immunology Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Clinical cancer research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Brown, Jason R</au><au>Wimberly, Hallie</au><au>Lannin, Donald R</au><au>Nixon, Christian</au><au>Rimm, David L</au><au>Bossuyt, Veerle</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multiplexed quantitative analysis of CD3, CD8, and CD20 predicts response to neoadjuvant chemotherapy in breast cancer</atitle><jtitle>Clinical cancer research</jtitle><addtitle>Clin Cancer Res</addtitle><date>2014-12-01</date><risdate>2014</risdate><volume>20</volume><issue>23</issue><spage>5995</spage><epage>6005</epage><pages>5995-6005</pages><issn>1078-0432</issn><eissn>1557-3265</eissn><abstract>Although tumor-infiltrating lymphocytes (TIL) have been associated with response to neoadjuvant therapy, measurement typically is subjective, semiquantitative, and unable to differentiate among subpopulations. Here, we describe a quantitative objective method for analyzing lymphocyte subpopulations and assessing their predictive value.
We developed a quantitative immunofluorescence assay to measure stromal expression of CD3, CD8, and CD20 on one slide. We validated this assay by comparison with flow cytometry on tonsil specimens and assessed predictive value in breast cancer on a neoadjuvant cohort (n = 95). Then, each marker was tested for prediction of pathologic complete response (pCR) compared with pathologist estimation of the percentage of lymphocyte infiltrate.
The lymphocyte percentage and CD3, CD8, and CD20 proportions were similar between flow cytometry and quantitative immunofluorescence on tonsil specimens. Pathologist TIL count predicted pCR [P = 0.043; OR, 4.77; 95% confidence interval (CI), 1.05-21.6] despite fair interobserver reproducibility (κ = 0.393). Stromal AQUA (automated quantitative analysis) scores for CD3 (P = 0.023; OR, 2.51; 95% CI, 1.13-5.57), CD8 (P = 0.029; OR, 2.00; 95% CI, 1.08-3.72), and CD20 (P = 0.005; OR, 1.80; 95% CI, 1.19-2.72) predicted pCR in univariate analysis. CD20 AQUA score predicted pCR (P = 0.019; OR, 5.37; 95% CI, 1.32-21.8) independently of age, size, nuclear grade, nodal status, ER, PR, HER2, and Ki-67, whereas CD3, CD8, and pathologist estimation did not.
We have developed and validated an objective, quantitative assay measuring TILs in breast cancer. Although this work provides analytic validity, future larger studies will be required to prove clinical utility.</abstract><cop>United States</cop><pmid>25255793</pmid><doi>10.1158/1078-0432.CCR-14-1622</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Aged Antigens, CD20 - metabolism Antineoplastic Combined Chemotherapy Protocols - therapeutic use Biomarkers, Tumor Breast Neoplasms - drug therapy Breast Neoplasms - immunology Breast Neoplasms - metabolism Breast Neoplasms - mortality Breast Neoplasms - pathology CD3 Complex - metabolism CD8 Antigens - metabolism Chemotherapy, Adjuvant Female Humans Immunophenotyping Lymphocyte Subsets - immunology Lymphocyte Subsets - metabolism Lymphocytes, Tumor-Infiltrating - immunology Lymphocytes, Tumor-Infiltrating - metabolism Middle Aged Neoadjuvant Therapy Neoplasm Grading Neoplasm Staging Prognosis Reproducibility of Results Treatment Outcome Tumor Burden |
title | Multiplexed quantitative analysis of CD3, CD8, and CD20 predicts response to neoadjuvant chemotherapy in breast cancer |
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